Metadata-Version: 2.4
Name: ai-hacking-defense
Version: 0.1.0
Summary: Non-intrusive, zero-exfiltration personal security self-audit for the AI-hacking era.
License: MIT
Project-URL: Homepage, https://github.com/ftlord7/ai-hacking-defense
Keywords: security,audit,privacy,ai-agent,hardening,self-audit,zero-exfiltration
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Security
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# 🛡️ AI-Hacking Auto-Defense Scanner (MVP v0.1)
A **non-intrusive, zero-exfiltration** personal security self-audit for macOS.

## Why
AI-automated attacks now hit individuals, not just enterprises. This tool shows your
security score and exactly what to fix — without attacking anything and without
sending a single byte off your machine.

## Principles
- **Non-intrusive**: reads local settings/permissions/git/network only. No exploiting.
- **Zero-exfiltration**: 100% local. No network calls (no socket/urllib/requests imports — verify it yourself).
- **No value leakage**: secret *values* are never recorded — only their location.
- **Zero dependencies**: Python standard library only → easy single-binary / pip install.

## Install & run
    pip install ai-hacking-defense
    ai-hacking-defense     # or: python3 scan.py → security_report.html

## Checks: credentials · network · OS hardening · AI-agent risk · backup
## License: open-core (free core, paid Pro). Zero-exfil is verifiable in source.
